A key task in many intelligent video surveillance systems is pedestrian detection, as it provides essential information for semantic understanding of video. Accurate detection of individual instances of pedestrians in images plays a vital role in a myriad of applications that can positively impact the quality of human life. They range from video surveillance [1]}, [2]}, robotics, automotive [3]}, [4]} and assistive technologies to people with visual disabilities [5]}, just to name a few. Moreover, pedestrian detection also provides the main building block for people counting using detection-based approaches. Once the pedestrian instances are localized, it is possible to estimate the number of people present in the scene or a region of interest inside it.
